Title :
Self-similarity in data traffic for object-based storage system
Author :
Zhou, Ke ; Zou, Qiang ; Feng, Dan ; Zeng, Ling-Fang
Author_Institution :
Coll. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
With the development of network storage technology, object-based storage (OBS), as the next wave of storage technology and devices, provides the advantages of both file storage and block storage. However, the performance of such network storage hinges on knowing the I/O traffic patterns and optimizing the network for such patterns. Recently the notion of self-similarity has been applied to I/O workload, just like to wide-area and local-area network traffic. In this paper, basing on self-similar stochastic processes, we study the long-range dependencies in data traffic for object-based storage system (OBSS) and discuss the relation between I/O workload and network traffic about self-similarity
Keywords :
stochastic processes; storage area networks; storage management; telecommunication traffic; I/O traffic pattern; I/O workload; block storage; data traffic; file storage device; network optimization; network storage technology; object-based storage system; self-similar stochastic process; self-similarity; Computer networks; Educational institutions; Electronic mail; Fasteners; Intelligent networks; Laboratories; Local area networks; Memory; Telecommunication traffic; Traffic control;
Conference_Titel :
Networking, Architecture, and Storages, 2006. IWNAS '06. International Workshop on
Conference_Location :
Shenyang
Print_ISBN :
0-7695-2651-9
DOI :
10.1109/IWNAS.2006.41
